V value = entry.getValue();
      checkEntryNotNull(key, value);
      int keyHash = key.hashCode();
      int valueHash = value.hashCode();
      int keyBucket = Hashing.smear(keyHash) & mask;
      int valueBucket = Hashing.smear(valueHash) & mask;

      ImmutableMapEntry<K, V> nextInKeyBucket = keyTable[keyBucket];
      ImmutableMapEntry<K, V> nextInValueBucket = valueTable[valueBucket];
      try {

 * the License.
 */

package com.google.common.hash;

import static com.google.common.hash.Hashing.ChecksumType.ADLER_32;
import static com.google.common.hash.Hashing.ChecksumType.CRC_32;

import java.util.zip.Checksum;
import junit.framework.TestCase;

/**
 * Tests for ChecksumHashFunction.
 *
 * @author Colin Decker
 */

              }
            });

    assertExpectedBytes(readBytes);
  }

  public void testHash() throws IOException {
    HashCode expectedHash = Hashing.md5().hashBytes(expected);
    assertEquals(expectedHash, source.hash(Hashing.md5()));
  }

  public void testSlice_illegalArguments() {
    assertThrows(
        "expected IllegalArgumentException for call to slice with offset -1: " + source,

      new Murmur3_32HashFunction(0, /* supplementaryPlaneFix= */ true);

  // We can include the non-BMP fix here because Hashing.goodFastHash stresses that the hash is a
  // temporary-use one. Therefore it shouldn't be persisted.
  static final HashFunction GOOD_FAST_HASH_32 =
      new Murmur3_32HashFunction(Hashing.GOOD_FAST_HASH_SEED, /* supplementaryPlaneFix= */ true);

  private static final int CHUNK_SIZE = 4;

  public void testKnownIntegerInputs() {
    assertHash(593689054, murmur3_32().hashInt(0));
    assertHash(-189366624, murmur3_32().hashInt(-42));
    assertHash(-1134849565, murmur3_32().hashInt(42));
    assertHash(-1718298732, murmur3_32().hashInt(Integer.MIN_VALUE));
    assertHash(-1653689534, murmur3_32().hashInt(Integer.MAX_VALUE));
  }

  public void testKnownLongInputs() {

// KafkaSHA256 is a function that returns a crypto/sha256 hasher and should be used
// to create Client objects configured for SHA-256 hashing.
var KafkaSHA256 scram.HashGeneratorFcn = sha256.New

// KafkaSHA512 is a function that returns a crypto/sha512 hasher and should be used
// to create Client objects configured for SHA-512 hashing.
var KafkaSHA512 scram.HashGeneratorFcn = sha512.New

// XDGSCRAMClient implements the client-side of an authentication

      this.key = key;
      this.firstEntry = this;
      this.lastEntry = this;
      // Round expected values up to a power of 2 to get the table size.
      int tableSize = Hashing.closedTableSize(expectedValues, VALUE_SET_LOAD_FACTOR);

      @SuppressWarnings({"rawtypes", "unchecked"})
      @Nullable
      ValueEntry<K, V>[] hashTable = new @Nullable ValueEntry[tableSize];

Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

#### Hashing de senha

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Hashing.smear;

import com.google.common.annotations.GwtCompatible;
import junit.framework.TestCase;

/** Tests for {@code Hashing}. */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public class HashingTest extends TestCase {
  public void testSmear() {

    String init = "d41d8cd98f00b204e9800998ecf8427e";
    assertEquals(init, Hashing.md5().newHasher().hash().toString());

    String asciiHash = "e5df5a39f2b8cb71b24e1d8038f93131";
    assertEquals(asciiHash, Files.hash(asciiFile, Hashing.md5()).toString());

    String i18nHash = "7fa826962ce2079c8334cd4ebf33aea4";
    assertEquals(i18nHash, Files.hash(i18nFile, Hashing.md5()).toString());
  }

  public void testMap() throws IOException {